AI catalyst for Engineering and Science
The AI catalyst for Engineering and Science (AIcES) seminar series aims to ignite interdisciplinary innovation across AI, sciences (physics, quantum, bio), and engineering (materials, sensing). Through expert dialogue, it advances cutting-edge AI research (quantum error correction, physics-informed neural networks, geometric deep learning, AI-driven materials) while addressing societal challenges (energy, medicine, autonomy). The series strengthens academia-industry-national lab partnerships, enhancing translation of breakthroughs. It will drive collaboration with leaders in AI and increase external visibility of the UT AI initiative, positioning UTK as a global leader in multidisciplinary AI. Aligned with the AI Tennessee Initiative, it highlights UT’s commitment to discovery, workforce development, and societal impact via ethical, collaborative innovation
Upcoming Talk
Confirmed Speakers
Robert Davis
University of Tennessee, Health Science Center
Lizhen Lin
University of Maryland
Christopher Summerfield
University of Oxford
Smita Krishnaswamy
Yale University
Cecilia Garraffo
Harvard University
Bei Wang
University of Utah
Huimin Zhao
University of Illinois Urbana-Champaign
Baris Coskunuzer
University of Texas at Dallas
Organizing Committee
- Duc Nguyen
- Ioannis Sgouralis
- Hairong Qi
- Adrian Del Maestro
- Cong Trinh
- Thanh Do
- Nicole McFarlane
- Tami Wyatt
- Sherwood Lagergren
Sponsor
This seminar series is a part of the AI TENNessee Distinguished Seminar Series, proudly sponsored by the AI Tennessee Initiative.
Contact
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